AI & Automation Lead | Backend & Cloud AI Solutions
📍 Yucatán, Mexico
My professional journey in developing AI solutions and cloud technologies.
As an AI & Automation Lead at Solvo, I specialize in workflow management automation using cutting-edge tools such as N8N, LangChain, RAG, OpenAI, and Deepseek. My expertise in Python and TypeScript allows me to develop robust solutions that streamline processes and enhance efficiency. I have successfully implemented cost-reduction strategies on AWS and GCP, optimizing cloud resources and reducing operational expenses. My role involves designing and deploying AI-driven automation systems that improve workflow management and drive business growth.
Designed and implemented scalable AI backend architectures on AWS to support LLM-powered applications. Orchestrated containerized AI services with Kubernetes (EKS) and managed infrastructure as code with Terraform, ensuring high availability and cost optimization.
Automated CI/CD pipelines with Jenkins and GCP Cloud Build for deploying backend applications and AI services on Google Kubernetes Engine (GKE). Implemented containerization strategies with Docker for microservices architectures.
Built and automated backend data pipelines using Python, AWS Glue, and Lambda for AI model training data preparation and real-time inference systems. Orchestrated complex ML workflows with Apache Airflow.
Consulted on scalable AI system architectures, defining best practices for backend services supporting large-scale machine learning applications and data processing. Led technical design and implementation strategy for AI projects.
Senior AI Engineer with 5+ years of experience in backend development, AI/ML systems, and cloud-native architectures.
Specialist in developing AI-driven applications, distributed microservices, and scalable data pipelines. With hands-on experience in LLM integration, prompt engineering, and MLOps, along with practical experience in AWS and GCP. I leverage my technical expertise to develop cutting-edge AI products and services.
Technologies and tools I master to create innovative AI solutions.
My professional certifications in AI, Cloud, and related technologies.
Certification in data engineering for Google Cloud Platform, including Vertex AI and ML pipelines.
Certification focused on designing, implementing, and maintaining Machine Learning solutions on AWS, covering Data Engineering and model optimization.
Certification in Docker containerization and orchestration for applications.
Certification in spatial geointelligence and data analysis.
Certification for effectively delivering technical courses and workshops.
Technical talks and presentations I've delivered at industry events.
Presented "AI Chatbot Architecture and Real-time Data Processing Pipeline", showcasing backend implementation with Python and cloud deployment strategies on AWS. Demonstrated integration of LLM technologies with traditional backend systems for scalable conversational AI applications.
Co-authored and presented a research paper on "Explainable AI in Agriculture", published in WITCOM 2023 (Springer, Scopus). Presented ML model interpretability techniques and backend systems for AI model deployment in agricultural applications.
Delivered multiple technical workshops on AI/ML implementation, cloud deployment strategies, and backend development best practices. Certified instructor for effectively delivering technical courses and workshops to development teams and students.
Innovative AI and backend solutions I've developed, including contributions to open-source communities.
Contributed to open-source projects by enabling the Builderbot WhatsApp library to use DeepSeek as an LLM provider via WebSockets, offering an alternative to OpenAI for conversational agents.
A robust AI chatbot platform designed for seamless conversational experiences. Integrates advanced LLM capabilities to provide intelligent and responsive interactions for various use cases.
Transforming school management in Mexico. A proposal to optimize evaluation, communication, and administration with a modern, economical, and flexible solution for educational institutions.
Technical proposal for enterprise implementation of a self-hosted LLM server. Complete solution for organizations seeking to implement AI capabilities while maintaining data privacy and control.
Advanced OCR system for processing receipts and extracting structured data. Uses computer vision and machine learning to automatically digitize physical receipts with high accuracy.
Interactive digit recognition system using neural networks. Draw a digit (0-9) on the canvas and get real-time predictions. Includes API integration and live demonstration capabilities.
Smart city analytics platform for analyzing specialized incidents including firearms, domestic violence, and drugs. Real-time mapping and data visualization for urban safety management.
AI-powered chatbot for querying buyers and debtors database. Natural language interface for complex database queries, providing insights on best buyers, highest debtors, and comprehensive database statistics.
Advanced WhatsApp chatbot using Baileys Provider for visa consultation services. Automated customer service with AI-powered responses for immigration and visa-related queries.
Machine learning model using XGBoost to predict first career outcomes in Premier League first innings. Advanced sports analytics with predictive modeling for baseball statistics.
Comprehensive architecture diagram for multiple interconnected chatbots designed for government implementation. Scalable solution for public sector digital transformation and citizen services automation.
Ready to create something amazing together? Let's talk!